{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(50000, 32, 32, 3) x_train samples\n",
      "(10000, 32, 32, 3) x_test samples\n",
      "(50000, 1) y_trian samples\n",
      "(10000, 1) Y_test samples\n"
     ]
    }
   ],
   "source": [
    "from keras.datasets import cifar10\n",
    "\n",
    "(x_train, y_train), (x_test, y_test) = cifar10.load_data()\n",
    "\n",
    "print(x_train.shape, 'x_train samples')\n",
    "print(x_test.shape, 'x_test samples')\n",
    "print(y_train.shape, 'y_trian samples')\n",
    "print(y_test.shape, 'Y_test samples')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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       " </defs>\r\n",
       "</svg>\r\n"
      ],
      "text/plain": [
       "<Figure size 864x720 with 48 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "plt.figure(figsize=(12,10))\n",
    "x, y = 8, 6\n",
    "\n",
    "for i in range(x*y):  \n",
    "    plt.subplot(y, x, i+1)\n",
    "    plt.imshow(x_train[i],interpolation='nearest')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import keras\n",
    "# 将类向量转换为二进制类矩阵。\n",
    "y_train = keras.utils.to_categorical(y_train, 10)\n",
    "y_test = keras.utils.to_categorical(y_test, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_2\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_5 (Conv2D)            (None, 32, 32, 32)        896       \n",
      "_________________________________________________________________\n",
      "activation_7 (Activation)    (None, 32, 32, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_6 (Conv2D)            (None, 30, 30, 32)        9248      \n",
      "_________________________________________________________________\n",
      "activation_8 (Activation)    (None, 30, 30, 32)        0         \n",
      "_________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2 (None, 15, 15, 32)        0         \n",
      "_________________________________________________________________\n",
      "dropout_4 (Dropout)          (None, 15, 15, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_7 (Conv2D)            (None, 15, 15, 64)        18496     \n",
      "_________________________________________________________________\n",
      "activation_9 (Activation)    (None, 15, 15, 64)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_8 (Conv2D)            (None, 13, 13, 64)        36928     \n",
      "_________________________________________________________________\n",
      "activation_10 (Activation)   (None, 13, 13, 64)        0         \n",
      "_________________________________________________________________\n",
      "max_pooling2d_4 (MaxPooling2 (None, 6, 6, 64)          0         \n",
      "_________________________________________________________________\n",
      "dropout_5 (Dropout)          (None, 6, 6, 64)          0         \n",
      "_________________________________________________________________\n",
      "flatten_2 (Flatten)          (None, 2304)              0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 512)               1180160   \n",
      "_________________________________________________________________\n",
      "activation_11 (Activation)   (None, 512)               0         \n",
      "_________________________________________________________________\n",
      "dropout_6 (Dropout)          (None, 512)               0         \n",
      "_________________________________________________________________\n",
      "dense_4 (Dense)              (None, 10)                5130      \n",
      "_________________________________________________________________\n",
      "activation_12 (Activation)   (None, 10)                0         \n",
      "=================================================================\n",
      "Total params: 1,250,858\n",
      "Trainable params: 1,250,858\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout, Activation, Flatten,Conv2D, MaxPooling2D\n",
    "\n",
    "# 构建CNN网络\n",
    "\n",
    "model = Sequential()\n",
    "\n",
    "# 添加卷积层\n",
    "model.add(Conv2D(32, (3, 3), padding='same',input_shape=x_train.shape[1:]))\n",
    "# 添加激活层\n",
    "model.add(Activation('relu'))\n",
    "model.add(Conv2D(32, (3, 3)))\n",
    "model.add(Activation('relu'))\n",
    "\n",
    "# 添加最大池化层\n",
    "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "model.add(Dropout(0.25))\n",
    "\n",
    "model.add(Conv2D(64, (3, 3), padding='same'))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Conv2D(64, (3, 3)))\n",
    "model.add(Activation('relu'))\n",
    "model.add(MaxPooling2D(pool_size=(2, 2)))\n",
    "model.add(Dropout(0.25))\n",
    "\n",
    "# 将上一层输出的数据变成一维\n",
    "model.add(Flatten())\n",
    "# 添加全连接层\n",
    "model.add(Dense(512))\n",
    "model.add(Activation('relu'))\n",
    "model.add(Dropout(0.5))\n",
    "model.add(Dense(10))\n",
    "model.add(Activation('softmax'))\n",
    "\n",
    "# 网络模型的介绍\n",
    "print(model.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.optimizers import RMSprop\n",
    "# 利用 RMSprop 来训练模型。\n",
    "model.compile(loss='categorical_crossentropy',\n",
    "              optimizer=RMSprop(),\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 50000 samples, validate on 10000 samples\n",
      "Epoch 1/64\n",
      "50000/50000 [==============================] - 26s 523us/step - loss: 2.2174 - accuracy: 0.2213 - val_loss: 1.6694 - val_accuracy: 0.4297\n",
      "Epoch 2/64\n",
      "50000/50000 [==============================] - 26s 519us/step - loss: 1.5134 - accuracy: 0.4670 - val_loss: 1.4086 - val_accuracy: 0.5164\n",
      "Epoch 3/64\n",
      "50000/50000 [==============================] - 26s 518us/step - loss: 1.4120 - accuracy: 0.5118 - val_loss: 1.3444 - val_accuracy: 0.5342\n",
      "Epoch 4/64\n",
      "50000/50000 [==============================] - 26s 521us/step - loss: 1.3718 - accuracy: 0.5299 - val_loss: 1.2457 - val_accuracy: 0.5661\n",
      "Epoch 5/64\n",
      "50000/50000 [==============================] - 26s 521us/step - loss: 1.3553 - accuracy: 0.5388 - val_loss: 1.2360 - val_accuracy: 0.5638\n",
      "Epoch 6/64\n",
      "50000/50000 [==============================] - 27s 532us/step - loss: 1.3627 - accuracy: 0.5360 - val_loss: 1.1566 - val_accuracy: 0.5962\n",
      "Epoch 7/64\n",
      "50000/50000 [==============================] - 27s 534us/step - loss: 1.3912 - accuracy: 0.5314 - val_loss: 1.8234 - val_accuracy: 0.4448\n",
      "Epoch 8/64\n",
      "50000/50000 [==============================] - 27s 535us/step - loss: 1.4213 - accuracy: 0.5261 - val_loss: 1.4387 - val_accuracy: 0.5195\n",
      "Epoch 9/64\n",
      "50000/50000 [==============================] - 26s 523us/step - loss: 1.4169 - accuracy: 0.5247 - val_loss: 1.2862 - val_accuracy: 0.5732\n",
      "Epoch 10/64\n",
      "50000/50000 [==============================] - 26s 518us/step - loss: 1.4825 - accuracy: 0.5059 - val_loss: 1.3603 - val_accuracy: 0.5282\n",
      "Epoch 11/64\n",
      "50000/50000 [==============================] - 27s 536us/step - loss: 1.4751 - accuracy: 0.5060 - val_loss: 1.2130 - val_accuracy: 0.5752\n",
      "Epoch 12/64\n",
      "50000/50000 [==============================] - 26s 523us/step - loss: 1.5061 - accuracy: 0.5014 - val_loss: 1.4130 - val_accuracy: 0.5398\n",
      "Epoch 13/64\n",
      "50000/50000 [==============================] - 26s 519us/step - loss: 1.5420 - accuracy: 0.4906 - val_loss: 1.3231 - val_accuracy: 0.5535\n",
      "Epoch 14/64\n",
      "50000/50000 [==============================] - 26s 521us/step - loss: 1.5531 - accuracy: 0.4843 - val_loss: 1.3222 - val_accuracy: 0.5408\n",
      "Epoch 15/64\n",
      "50000/50000 [==============================] - 26s 521us/step - loss: 1.6066 - accuracy: 0.4627 - val_loss: 1.3769 - val_accuracy: 0.5324\n",
      "Epoch 16/64\n",
      "50000/50000 [==============================] - 26s 521us/step - loss: 1.6368 - accuracy: 0.4566 - val_loss: 1.4665 - val_accuracy: 0.4957\n",
      "Epoch 17/64\n",
      "50000/50000 [==============================] - 26s 521us/step - loss: 1.6438 - accuracy: 0.4509 - val_loss: 1.5034 - val_accuracy: 0.4566\n",
      "Epoch 18/64\n",
      "50000/50000 [==============================] - 26s 519us/step - loss: 1.6735 - accuracy: 0.4409 - val_loss: 1.4856 - val_accuracy: 0.4951\n",
      "Epoch 19/64\n",
      "50000/50000 [==============================] - 27s 534us/step - loss: 1.6385 - accuracy: 0.4491 - val_loss: 1.5929 - val_accuracy: 0.4394\n",
      "Epoch 20/64\n",
      "50000/50000 [==============================] - 26s 521us/step - loss: 1.6811 - accuracy: 0.4395 - val_loss: 2.0029 - val_accuracy: 0.3685\n",
      "Epoch 21/64\n",
      "50000/50000 [==============================] - 26s 515us/step - loss: 1.6829 - accuracy: 0.4303 - val_loss: 1.7964 - val_accuracy: 0.4212\n",
      "Epoch 22/64\n",
      "50000/50000 [==============================] - 27s 532us/step - loss: 1.6880 - accuracy: 0.4262 - val_loss: 1.4528 - val_accuracy: 0.5056\n",
      "Epoch 23/64\n",
      "50000/50000 [==============================] - 26s 515us/step - loss: 1.7158 - accuracy: 0.4155 - val_loss: 1.4990 - val_accuracy: 0.4836\n",
      "Epoch 24/64\n",
      "50000/50000 [==============================] - 27s 531us/step - loss: 1.7995 - accuracy: 0.3974 - val_loss: 1.7327 - val_accuracy: 0.3870\n",
      "Epoch 25/64\n",
      "50000/50000 [==============================] - 26s 520us/step - loss: 1.7746 - accuracy: 0.3897 - val_loss: 1.5795 - val_accuracy: 0.4477\n",
      "Epoch 26/64\n",
      "50000/50000 [==============================] - 26s 525us/step - loss: 1.8810 - accuracy: 0.3783 - val_loss: 1.6781 - val_accuracy: 0.4201\n",
      "Epoch 27/64\n",
      "50000/50000 [==============================] - 27s 539us/step - loss: 1.8137 - accuracy: 0.3784 - val_loss: 1.6489 - val_accuracy: 0.3993\n",
      "Epoch 28/64\n",
      "50000/50000 [==============================] - 27s 543us/step - loss: 1.8539 - accuracy: 0.3565 - val_loss: 1.7575 - val_accuracy: 0.3821\n",
      "Epoch 29/64\n",
      "50000/50000 [==============================] - 27s 539us/step - loss: 1.8282 - accuracy: 0.3650 - val_loss: 2.0649 - val_accuracy: 0.2280\n",
      "Epoch 30/64\n",
      "50000/50000 [==============================] - 26s 528us/step - loss: 1.8985 - accuracy: 0.3278 - val_loss: 1.7821 - val_accuracy: 0.3163\n",
      "Epoch 31/64\n",
      "50000/50000 [==============================] - 27s 531us/step - loss: 1.8903 - accuracy: 0.3054 - val_loss: 1.7846 - val_accuracy: 0.3327\n",
      "Epoch 32/64\n",
      "50000/50000 [==============================] - 27s 532us/step - loss: 1.9026 - accuracy: 0.2989 - val_loss: 1.7334 - val_accuracy: 0.3501\n",
      "Epoch 33/64\n",
      "50000/50000 [==============================] - 27s 531us/step - loss: 1.8761 - accuracy: 0.3251 - val_loss: 1.8203 - val_accuracy: 0.3627\n",
      "Epoch 34/64\n",
      "50000/50000 [==============================] - 27s 536us/step - loss: 1.7896 - accuracy: 0.3615 - val_loss: 1.6965 - val_accuracy: 0.3713\n",
      "Epoch 35/64\n",
      "50000/50000 [==============================] - 26s 529us/step - loss: 1.7500 - accuracy: 0.3663 - val_loss: 1.6239 - val_accuracy: 0.3834\n",
      "Epoch 36/64\n",
      "50000/50000 [==============================] - 27s 536us/step - loss: 1.7727 - accuracy: 0.3600 - val_loss: 1.6218 - val_accuracy: 0.4134\n",
      "Epoch 37/64\n",
      "50000/50000 [==============================] - 27s 537us/step - loss: 1.7815 - accuracy: 0.3610 - val_loss: 1.6300 - val_accuracy: 0.3973\n",
      "Epoch 38/64\n",
      "50000/50000 [==============================] - 27s 542us/step - loss: 1.7741 - accuracy: 0.3605 - val_loss: 1.9018 - val_accuracy: 0.3458\n",
      "Epoch 39/64\n",
      "50000/50000 [==============================] - 27s 542us/step - loss: 1.7677 - accuracy: 0.3607 - val_loss: 1.8776 - val_accuracy: 0.3719\n",
      "Epoch 40/64\n",
      "50000/50000 [==============================] - 28s 566us/step - loss: 1.7902 - accuracy: 0.3593 - val_loss: 1.8479 - val_accuracy: 0.3495\n",
      "Epoch 41/64\n",
      "50000/50000 [==============================] - 29s 577us/step - loss: 1.8023 - accuracy: 0.3568 - val_loss: 1.6298 - val_accuracy: 0.4030\n",
      "Epoch 42/64\n",
      "50000/50000 [==============================] - 27s 545us/step - loss: 1.7836 - accuracy: 0.3592 - val_loss: 1.6426 - val_accuracy: 0.4018\n",
      "Epoch 43/64\n",
      "50000/50000 [==============================] - 28s 560us/step - loss: 1.7933 - accuracy: 0.3434 - val_loss: 1.9467 - val_accuracy: 0.2979\n",
      "Epoch 44/64\n",
      "50000/50000 [==============================] - 29s 580us/step - loss: 1.8206 - accuracy: 0.3414 - val_loss: 1.6611 - val_accuracy: 0.3711\n",
      "Epoch 45/64\n",
      "50000/50000 [==============================] - 27s 550us/step - loss: 1.8078 - accuracy: 0.3375 - val_loss: 1.6243 - val_accuracy: 0.4069\n",
      "Epoch 46/64\n",
      "50000/50000 [==============================] - 27s 546us/step - loss: 1.8012 - accuracy: 0.3408 - val_loss: 1.6581 - val_accuracy: 0.3572\n",
      "Epoch 47/64\n",
      "50000/50000 [==============================] - 28s 556us/step - loss: 1.7815 - accuracy: 0.3446 - val_loss: 1.6703 - val_accuracy: 0.3639\n",
      "Epoch 48/64\n",
      "50000/50000 [==============================] - 28s 553us/step - loss: 1.8007 - accuracy: 0.3403 - val_loss: 1.6627 - val_accuracy: 0.3811\n",
      "Epoch 49/64\n",
      "50000/50000 [==============================] - 28s 560us/step - loss: 1.7925 - accuracy: 0.3421 - val_loss: 1.6071 - val_accuracy: 0.3988\n",
      "Epoch 50/64\n",
      "50000/50000 [==============================] - 28s 560us/step - loss: 1.8007 - accuracy: 0.3474 - val_loss: 1.6443 - val_accuracy: 0.3889\n",
      "Epoch 51/64\n",
      "50000/50000 [==============================] - 27s 547us/step - loss: 1.8131 - accuracy: 0.3388 - val_loss: 1.7776 - val_accuracy: 0.3093\n",
      "Epoch 52/64\n",
      "50000/50000 [==============================] - 27s 547us/step - loss: 1.8476 - accuracy: 0.3462 - val_loss: 1.6578 - val_accuracy: 0.3951\n",
      "Epoch 53/64\n",
      "50000/50000 [==============================] - 28s 557us/step - loss: 1.8114 - accuracy: 0.3412 - val_loss: 2.0573 - val_accuracy: 0.2964\n",
      "Epoch 54/64\n",
      "50000/50000 [==============================] - 28s 552us/step - loss: 1.8237 - accuracy: 0.3384 - val_loss: 1.7149 - val_accuracy: 0.3601\n",
      "Epoch 55/64\n",
      "50000/50000 [==============================] - 27s 548us/step - loss: 1.8266 - accuracy: 0.3320 - val_loss: 1.7792 - val_accuracy: 0.3410\n",
      "Epoch 56/64\n",
      "50000/50000 [==============================] - 27s 548us/step - loss: 1.8392 - accuracy: 0.3288 - val_loss: 1.8280 - val_accuracy: 0.3207\n",
      "Epoch 57/64\n",
      "50000/50000 [==============================] - 28s 552us/step - loss: 1.8466 - accuracy: 0.3274 - val_loss: 1.7499 - val_accuracy: 0.3453\n",
      "Epoch 58/64\n",
      "50000/50000 [==============================] - 27s 548us/step - loss: 1.8652 - accuracy: 0.3201 - val_loss: 1.7660 - val_accuracy: 0.3545\n",
      "Epoch 59/64\n",
      "50000/50000 [==============================] - 28s 554us/step - loss: 1.8477 - accuracy: 0.3182 - val_loss: 1.7471 - val_accuracy: 0.3634\n",
      "Epoch 60/64\n",
      "50000/50000 [==============================] - 27s 548us/step - loss: 1.8428 - accuracy: 0.3240 - val_loss: 1.7944 - val_accuracy: 0.3388\n",
      "Epoch 61/64\n",
      "50000/50000 [==============================] - 28s 567us/step - loss: 1.8646 - accuracy: 0.3193 - val_loss: 1.8889 - val_accuracy: 0.3006\n",
      "Epoch 62/64\n",
      "50000/50000 [==============================] - 28s 560us/step - loss: 1.8762 - accuracy: 0.3207 - val_loss: 1.7144 - val_accuracy: 0.3671\n",
      "Epoch 63/64\n",
      "50000/50000 [==============================] - 27s 550us/step - loss: 1.8819 - accuracy: 0.3205 - val_loss: 1.7421 - val_accuracy: 0.3546\n",
      "Epoch 64/64\n",
      "50000/50000 [==============================] - 28s 550us/step - loss: 1.8725 - accuracy: 0.3192 - val_loss: 1.7566 - val_accuracy: 0.3576\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(x_train, y_train,\n",
    "                    batch_size=32,\n",
    "                    epochs=64,\n",
    "                    verbose=1,\n",
    "                    validation_data=(x_test, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test loss: 61.86403895263672\n",
      "Test accuracy: 0.10000000149011612\n"
     ]
    }
   ],
   "source": [
    "score = model.evaluate(x_test, y_test, verbose=0)\n",
    "print('Test loss:', score[0])\n",
    "print('Test accuracy:', score[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'history' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-16-86a7ea91726b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;31m# 绘制训练过程中训练集和测试集合的准确率值\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'accuracy'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      5\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhistory\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'val_accuracy'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Model accuracy'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'history' is not defined"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 绘制训练过程中训练集和测试集合的准确率值\n",
    "plt.plot(history.history['accuracy'])\n",
    "plt.plot(history.history['val_accuracy'])\n",
    "plt.title('Model accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epoch')\n",
    "plt.legend(['Train', 'Test'], loc='upper left')\n",
    "plt.show()\n",
    "\n",
    "# 绘制训练过程中训练集和测试集合的损失值\n",
    "plt.plot(history.history['loss'])\n",
    "plt.plot(history.history['val_loss'])\n",
    "plt.title('Model loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.legend(['Train', 'Test'], loc='upper left')\n",
    "plt.show()"
   ]
  }
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